Titlebook: Recent Advances in Soft Computing and Data Mining; Proceedings of the F Rozaida Ghazali,Nazri Mohd Nawi,Nureize Arbaiy Conference proceedin

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LDA Based Topic Modeling on Hospital Facebook Postsng the contents of social media data. This study aims to model the topics found in two hospitals’ Facebook pages, particularly we used the Latent Dirichlet Allocation (LDA) technique to extract 20 topics from the Facebook posts of two hospitals representing one rural and one urban hospital. The resu

严重伤害

Binary Bat Algorithm with Dynamic Bayesian Network for Feature Selection on Cancer Gene Expression Pture space posed significant challenges during data analysis, mainly in learning network structure. Hence, feature selection (FS) has become an essential phase in microarray data analysis to obtain significant genes that could enhance the performance of subsequent process. This study aims to propose

难解

Deep Learning GRU Model and Random Forest for Screening Out Key Attributes of Cardiovascular Diseaseall deaths are caused by cardiovascular disease each year. The earlier cardiovascular disease may be detected and treated, the lower the risk of significant outcomes for individuals who are already at risk. Developing a better heart disease prediction model can be extremely beneficial in predicting

神化怪物

Ceramic

Combined Spatial and Frequency Domains in Algorithm of RGB Color Image Security for Telescope Imagesty plays a significant role during the transmission process. Existing algorithms in image security were developed based on Latin squares, DNA sequence etc. However, the suitability of the techniques is questionable and high cost was needed. In this paper, Combined Spatial and Frequency Domains (CSFD

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Conference proceedings 2022 concepts and techniques readers need to get the most out of their large-scale research and data mining projects. It strides them through the data-analytical thinking, circumvents the difficulty in deciphering complex data systems and obtaining commercialization value from the data. Also known as da

合唱队

Fast Hard Clustering Based on Soft Set Multinomial Distribution Functionent is conducted to evaluate the processing times, purity and rand index using benchmarks datasets. The experiment results show that the proposed approach have improve the processing times up to 95.03% by not compromising the purity and rand index as compared with baseline techniques.

RENAL

Ophthalmologist

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